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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Lm sys FastChat ShareGPT Data Pipeline
- Workflow:Alibaba MNN Stable Diffusion Deployment
- Workflow:DistrictDataLabs Yellowbrick Regression Model Evaluation
- Workflow:Duckdb Duckdb Code Generation Pipeline
- Workflow:SeldonIO Seldon core AB Testing Experiment
- Workflow:Danijar Dreamerv3 Single Process Training
- Workflow:Apache Spark Release Process
- Workflow:Nautechsystems Nautilus trader Strategy development
- Workflow:DistrictDataLabs Yellowbrick Model Selection and Tuning
- Workflow:Openai Openai python Image Generation
Principles
- Principle:AnswerDotAI RAGatouille Model Training
- Principle:Huggingface Trl Reward Preference Dataset Loading
- Principle:Predibase Lorax Production Observability
- Principle:Microsoft Playwright Export and Refine
- Principle:Ucbepic Docetl Data Sampling And Selection
- Principle:Online ml River Online Model Selection
- Principle:Puppeteer Puppeteer Browser Process Management
- Principle:Arize ai Phoenix Prompt Version Tagging
- Principle:Openclaw Openclaw CLI Bootstrap
- Principle:Volcengine Verl Evaluation And Checkpointing
Implementations
- Implementation:Deepspeedai DeepSpeed Initialize For SFT
- Implementation:Mit han lab Llm awq QuantInternVisionEncoder
- Implementation:Elevenlabs Elevenlabs python PromptAgentApiModelInput
- Implementation:Vibrantlabsai Ragas LLMSQLEquivalence
- Implementation:Apache Druid HjsonCompletions
- Implementation:Hiyouga LLaMA Factory Misc Utils
- Implementation:Sgl project Sglang CPU MoE
- Implementation:Pola rs Polars Sink Operations
- Implementation:Langchain ai Langchain OllamaEmbeddings
- Implementation:Openai Openai node Zod String Parser
Heuristics
- Heuristic:CARLA simulator Carla Synchronous Mode Fixed Delta
- Heuristic:Eric mitchell Direct preference optimization Disable Sampling During Eval
- Heuristic:Facebookresearch Audiocraft Audio Normalization Strategies
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:Apache Druid Capability Detection Strategy
- Heuristic:Mlflow Mlflow Async Logging Best Practices
- Heuristic:ARISE Initiative Robomimic Video Recording Optimization
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
- Heuristic:OpenBMB UltraFeedback GPU Memory Utilization
- Heuristic:MarketSquare Robotframework browser Shared Node Process For Parallel
Environments
- Environment:Dagster io Dagster GRPC Communication
- Environment:Shiyu coder Kronos Comet ML Logging
- Environment:Langgenius Dify Python Backend Environment
- Environment:Unstructured IO Unstructured OpenAI API
- Environment:Facebookresearch Habitat lab SLURM Distributed Environment
- Environment:Princeton nlp SimPO CUDA Training
- Environment:Ggml org Ggml Vulkan GPU Environment
- Environment:VainF Torch Pruning LLM Pruning Dependencies
- Environment:Pytorch Serve Python PyTorch Runtime
- Environment:Vespa engine Vespa POSIX Mmap Log Control